|-转 fastapi-speaker-extractor whisperx 项目报错 ValueError: The chosen align_model
pip3 install torch torchaudio torchvision --index-url https://download.pytorch.org/whl/cu126
确保您的torch版本至少为2.6。
ValueError: The chosen align_model "jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn" could not be found in huggingface (https://huggingface.co/models Models - Hugging Face Models - Hugging Face ) or torchaudio
参考网站https://pytorch.org/get-started/locally/
Traceback (most recent call last):
File "D:\python\fastapi-speaker-extractor\app\api\endpoints.py", line 15, in extract_speaker
result = await process_audio(audio_file.file, config_value)
File "D:\python\fastapi-speaker-extractor\app\services\audio_processor.py", line 32, in process_audio
model_a, metadata = whisperx.load_align_model(language_code=result["language"], device=device)
File "G:\ProgramData\miniconda3\envs\speaker-extractor\lib\site-packages\whisperx\__init__.py", line 11, in load_align_model
return alignment.load_align_model(*args, **kwargs)
File "G:\ProgramData\miniconda3\envs\speaker-extractor\lib\site-packages\whisperx\alignment.py", line 102, in load_align_model
raise ValueError(f'The chosen align_model "{model_name}" could not be found in huggingface (https://huggingface.co/models ) or torchaudio (https://pytorch.org/audio/stable/pipelines.html#id14 )')
ValueError: The chosen align_model "jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn" could not be found in huggingface (https://huggingface.co/models ) or torchaudio (https://pytorch.org/audio/stable/pipelines.html#id14 )
INFO: 127.0.0.1:2832 - "POST /api/speaker/extract/?config_value=default HTTP/1.1" 500 Internal Server Error
WARNING: StatReload detected changes in 'app\services\audio_processor.py'. Reloading... 报错从错误信息来看，您遇到了两个主要问题：
- torch版本问题：由于torch.load存在一个严重的漏洞，您需要将torch升级到至少v2.6版本才能正常使用该函数。这个问题可以通过升级torch来解决。
- 模型加载问题：您尝试加载的模型jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn在Hugging Face模型库或torchaudio中找不到。这可能是因为模型名称错误，或者该模型确实不存在于这些库中。
解决步骤：
1. 升级torch版本
您可以通过以下命令升级torch：...
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更新于：2025-08-23 07:03:19
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